In A Nutshell
Build and oversee a portfolio of initiatives and partnerships to ensure that new technologies, such as AI and data innovation, enable inclusive growth.
Responsibilities
- Develop and execute a new inclusive innovation strategy which helps the Center retain and strengthen its leadership position in the tech for good space.
- Actively participate in technical communities and conversations to influence emerging trends, social impact use cases, and breakthroughs in the field.
- Anticipate and cultivate new opportunities where the Center can harness technology for inclusive growth.
- Drive a strategy, use cases, solutions, and team that advance the field of impact data science.
- Institutionalize data-driven decisioning across the Center and its partner and grantee network.
- Advise Mastercard business units on the social impact dimensions of data, AI and cyber products and services.
- Partner with funders, private sector leaders, academic experts, and policy makers to incentivize inclusive and responsible data, AI, and cybersecurity programs and practices.
- Design, plan and implement technical briefings and integrate technical insights into philanthropic and business strategies.
- Evaluate opportunities, risks, and challenges associated with emerging technology implementation, and where appropriate, propose mitigation strategies to ensure inclusive growth.
- Plan and implement technical advising projects across the team, collecting and evaluating technical information and providing decision-makers with recommendations of easily digestible trade-offs when trying to develop solutions to often complex problems.
- Bolster the technological competencies, especially AI, of the Center and its network.
- Harness Mastercard’s human capital and technology for social impact.
Skillset
- Data scientist or equivalent.
- Experienced innovator and implementer as evidenced by direct leadership of complex projects, senior roles in product development, or other comparable experiences.
- Public, private, and social sector experience.
- Strong, established network in the tech for good field.
- Familiarity with and passion for solving the world’s biggest economic challenges through technology, innovation, and data.
- Significant technical expertise, track record, and network in emerging technology, especially artificial intelligence.
- Experience with machine learning methods and data mining, utilizing advanced analytical techniques, algorithms, and methodologies (Python, R, SAS, etc.).
- Proven skills in visioning, planning, and executing the strategic deployment of analytical systems, products, applications, and data to support a complex organization and ambitious social impact agenda.
- Strong interpersonal skills and the ability to work cross-functionally in a matrix organization.
- Ability to translate complex information into actionable insights.
- Attention to detail and ability to work with urgency.
- Ability to develop and foster a collaborative team environment and manage people effectively.
- Good understanding of global privacy, data protection, and AI regulatory principles and standards.
- Self-motivated and capable of working independently in a fast-paced environment.
- Excellent English oral and written communication skills, including well-developed public speaking skills.